根据此融合页面:
if (page is MasterDetailPage mdp)
{
App.Current.MainPage = mdp;
// We need to initialize both Master's BindingContext as
// well as Detail's BindingContext if they are PageModelBases
if (mdp.Master.BindingContext is PageModelBase masterPM)
{
await masterPM.InitializeAsync(null);
}
if (mdp.Detail.BindingContext is PageModelBase detailPM)
{
await detailPM.InitializeAsync(null);
}
}
else if (page is TabbedPage tabbedPage)
// .... existing code here
Flink 1.11中提供了python udf,可用于SQL函数。
我在这里查看了flink文档:
https://cwiki.apache.org/confluence/display/FLINK/FLIP-106%3A+Support+Python+UDF+in+SQL+Function+DDL
,然后在终端上尝试使用以下参数启动 sql-client.sh :
https://ci.apache.org/projects/flink/flink-docs-stable/dev/table/sqlClient.html
然后:
$ sql-client.sh embedded --pyExecutable /Users/jonathanfigueroa/opt/anaconda3/bin/python --pyFiles /Users/jonathanfigueroa/Desktop/pyflink/inference/test1.py
当我尝试时:
> Create Temporary System Function func1 as 'test1.func1' Language PYTHON;
[INFO] Function has been created.
我尝试在每个单独的组合> Select func1(str) From (VALUES ("Name1", "Name2", "Name3"));
[ERROR] Could not execute SQL statement. Reason:
java.lang.IllegalStateException: Instantiating python function 'test1.func1' failed.
中使用:-pyarch,--pyArchives, -pyexec,--pyExecutable, -pyfs,--pyFiles
,并且总是得到相同的结果。
顺便说一下,我的python文件看起来像这样:
.zip, .py
有什么我想念的吗?
问候,
乔纳森
答案 0 :(得分:0)
Python UDF应该由pyflink.table.udf
中的“ udf”修饰符包装,如下所示:
from pyflink.table.types import DataTypes
from pyflink.table.udf import udf
@udf(input_types=[DataTypes.INT()], result_type=DataTypes.INT())
def add_one(a):
return a + 1
并且在启动sql-client时需要加载flink-python jar,如下所示:
$ cd $FLINK_HOME/bin
$ ./start-cluster.sh
$ ./sql-client.sh embedded -pyfs xxx.py -j ../opt/flink-python_2.11-1.11.0.jar
此外,您需要向taskmanager.memory.task.off-heap.size: 79mb
中添加$FLINK_HOME/conf/flink-conf.yaml
或其他可用于设置配置的文件(例如sql客户端环境文件),否则在执行python udf时会出现错误:
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.table.api.TableException: The configured Task Off-Heap Memory 0 bytes is less than the least required Python worker Memory 79 mb. The Task Off-Heap Memory can be configured using the configuration key'taskmanager.memory .task.off-heap.size'.
最佳,
魏